Description du projet
Exploiter l’OT et la modélisation hydro-écologique pour fournir des services avancés de prévision de la disponibilité de l’eau
Le projet PrimeWater, financé par l’UE, fournira des produits d’observation terrestre (OT) robustes et des services transversaux pour la prévision opérationnelle des extrêmes hydrologiques et des proliférations d’algues nuisibles dans les lacs et les réservoirs. En vue d’améliorer nos compétences en matière de prévision, PrimeWater utilisera des algorithmes innovants d’apprentissage automatique et des techniques avancées d’assimilation de données pour intégrer la spectrométrie d’imagerie satellitaire dans la chaîne de modélisation. En offrant des capacités de prévision accrues, PrimeWater permettra aux gestionnaires de l’eau d’optimiser les services en aval et de mieux se préparer aux changements critiques à venir qui impacteront probablement la quantité et la qualité de l’eau.
Objectif
PrimeWater aims to maximize the potential of the Earth Observation (EO) technologies for the water sector by enhancing and expanding the information base for inland water quality attributes, through advanced physics-based algorithms that integrate multi- and hyper-spectral imagery from satellite, airborne and ground-based sensors, increasing the situational intelligence of water regulators, emergency planners, water-related industry professionals and local communities.
PrimeWater aspires to further add value to EO data and other Copernicus sectoral services through cross-cutting research with Data Assimilation (DA) and Machine Learning (ML) techniques aiming at improving the skill of hydro-ecological forecasts and their related impact at different spatial scales and time horizons, and hence improve preparedness against water hazards and enhance the capacity of decision-making through uncertainty information.
PrimeWater will establish a complete value chain linking science with the water business sector, ensuring the co-development of products and services through continuous and efficient interaction and communication with water professionals across the globe and in-depth analysis of the intrinsic barriers for the wide market uptake of EO-enabled services in the water sector. As a result PrimeWater will deliver water intelligent services that capitalize on advanced EO data products and intersections with other data sources, will build on cause-effect analyses through diagnostic modelling tools, and will utilize predictive and prescriptive calculations by integrating forecasting capabilities with planning and scenario analysis.
Champ scientifique
- natural sciencesearth and related environmental scienceshydrology
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Mots‑clés
Programme(s)
- H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space Main Programme
- H2020-EU.2.1.6.1. - Enabling European competitiveness, non-dependence and innovation of the European space sector
- H2020-EU.2.1.6.4. - Enabling European research in support of international space partnerships
- H2020-EU.2.1.6.3. - Enabling exploitation of space data
Régime de financement
RIA - Research and Innovation actionCoordinateur
15343 Agia Paraskevi Athina
Grèce
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.